Does computer vision matter for action?

Controlled experiments indicate that explicit intermediate representations help action. Controlled experiments indicate that explicit intermediate representations help action.

[1]  Sergey Levine,et al.  End-to-End Training of Deep Visuomotor Policies , 2015, J. Mach. Learn. Res..

[2]  Joel L. Davis,et al.  Large-Scale Neuronal Theories of the Brain , 1994 .

[3]  Qiang Chen,et al.  Network In Network , 2013, ICLR.

[4]  Sergey Ioffe,et al.  Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift , 2015, ICML.

[5]  Alexey Dosovitskiy,et al.  End-to-End Driving Via Conditional Imitation Learning , 2017, 2018 IEEE International Conference on Robotics and Automation (ICRA).

[6]  Vladlen Koltun,et al.  Learning to Act by Predicting the Future , 2016, ICLR.

[7]  Philipp Krähenbühl,et al.  Free Supervision from Video Games , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.

[8]  Shane Legg,et al.  Human-level control through deep reinforcement learning , 2015, Nature.

[9]  Jimmy Ba,et al.  Adam: A Method for Stochastic Optimization , 2014, ICLR.

[10]  Jitendra Malik,et al.  On Evaluation of Embodied Navigation Agents , 2018, ArXiv.

[11]  François Laviolette,et al.  Domain-Adversarial Training of Neural Networks , 2015, J. Mach. Learn. Res..

[12]  Vladlen Koltun,et al.  Playing for Benchmarks , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).

[13]  Thomas Brox,et al.  U-Net: Convolutional Networks for Biomedical Image Segmentation , 2015, MICCAI.

[14]  T. Sejnowski,et al.  A critique of pure vision , 1993 .

[15]  Vladlen Koltun,et al.  Playing for Data: Ground Truth from Computer Games , 2016, ECCV.

[16]  Wojciech Jaskowski,et al.  ViZDoom: A Doom-based AI research platform for visual reinforcement learning , 2016, 2016 IEEE Conference on Computational Intelligence and Games (CIG).

[17]  J. Gibson The Ecological Approach to Visual Perception , 1979 .

[18]  Tapani Raiko,et al.  International Conference on Learning Representations (ICLR) , 2016 .